Advances in digital technologies and data analytics have created unparalleled opportunities to assess and modify health behavior and thus accelerate the ability of science to understand and contribute to improved health behavior and health outcomes. Digital health data capture the richness and granularity of individuals’ behavior, the confluence of factors that impact behavior at the moment, and the within-individual evolution of behavior over time. These data may contribute to discovery science by revealing digital markers of health/risk behavior as well as translational science by informing personalized and timely models of intervention delivery. And they may help inform diagnostic classification of clinically problematic behavior and the clinical trajectories of diagnosable disorders over time. The COVID-19 pandemic has fundamentally altered health priorities around the world. Across all sectors, organizations are engaging with digital solutions to tackle the spread of the virus and relying on data to make critical decisions around healthcare delivery and resource prioritization. In this podcast, we will discuss why we are seeing an increase in the use of digital during the COVID-19 pandemic, and how this extreme experience has awakened the world to the crucial infrastructure that needs to be in place in order to rapidly respond to future health emergencies.